How I Used Python to Analyse 40,000 Human Gut Cells and Uncover What Makes Crohn's Disease Different from Colitis

A computational biologist used Python to analyze 40,000 human gut cells from 18 patients with Crohn's disease, ulcerative colitis, or healthy controls. The goal was to understand the biological differences between Crohn's and ulcerative colitis. Single-cell RNA sequencing was used to read the activity of every gene in every cell, but batch effects from different lab processing made the data messy. To overcome this, the biologist used Python to correct for batch effects and identify the key differences between the two diseases.